kml基础库7

• geopy 使 Python 开发人员可以使用第三方地理编码器和其他数据源轻松定位全球地址、城市、国家和地标的坐标

  pip install geopy
  

  计算两个坐标直线距离

  from geopy.distance import geodesic
  
  print(geodesic((25.033565,121.5647882), (25.036234628082, 121.55669215271)).m)
  print(geodesic((25.033565,121.5647882), (25.036234628082, 121.55669215271)).km)
  
  868.9355008854188
  0.8689355008854188
  

• polycircles

  pip install polycircles
  

  具有 36 个顶点的多边形看起来很像一个圆
  from polycircles import polycircles
  
  polycircle = polycircles.Polycircle(
  	latitude=40.768085,
  	longitude=-73.981885,
  	radius=200,
  	number_of_vertices=36
  )
  
  kml = simplekml.Kml()
  pol = kml.newpolygon(name="Columbus Circle, Manhattan", outerboundaryis=polycircle.to_kml())
  pol.style.polystyle.color = simplekml.Color.changealphaint(200, simplekml.Color.green)
  
  kml.save("test_kml_polygon_3_manhattan.kml")
  

  kml = simplekml.Kml()
  
  outer_polycircle = polycircles.Polycircle(
  	latitude=40.768085, longitude=-73.981885, radius=200, number_of_vertices=36
  	)
  inner_polycircle = polycircles.Polycircle(
  	latitude=40.768085, longitude=-73.981885, radius=180, number_of_vertices=36
  )
  
  pol = kml.newpolygon(
  	name="Torus around Columbus Circle, Manhattan",
  	outerboundaryis=outer_polycircle.to_kml(),
  	innerboundaryis=inner_polycircle.to_kml()
  )
  pol.style.polystyle.color = simplekml.Color.changealphaint(200, simplekml.Color.red)
  kml.save("test_kml_polygon_2_torus_manhattan.kml")
  

  经纬度点序列  polycircles可以简单地为任何非 KML 使用生成一系列 lat-lon 元组
  import pprint
  from polycircles import polycircles
  polycircle = polycircles.Polycircle(latitude=32.074523,
  longitude=34.791469,
  radius=20,
  number_of_vertices=12)
  pprint.pprint(polycircle.to_lat_lon())
  ((32.07470336197859, 34.791469),
  (32.074679198011374, 34.7915749137218),
  
  (32.074613180857156, 34.79128555218445),
  (32.074679198011374, 34.791363086278196))
  

fastkml
simplekml
pykml

• 测地线算法

  pip install geographiclib